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ChatGPT is a chatbot and virtual assistant developed by OpenAI and launched on November 30, 2022. Based on large language models (LLMs), it enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. Successive user prompts and replies are considered at each conversation stage as context.
e. Generative Pre-trained Transformer 2 ( GPT-2) is a large language model by OpenAI and the second in their foundational series of GPT models. GPT-2 was pre-trained on a dataset of 8 million web pages. [ 2] It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019. [ 3][ 4][ 5]
FOSDEM —Free and Open-source Software Developers' European Meeting. FOSI —Formatted Output Specification Instance. FOSS —Free and Open-Source Software. FP —Function Programming. FP —Functional Programming. FPGA —Field Programmable Gate Array. FPS —Floating Point Systems. FPU —Floating-Point Unit. FRU —Field-Replaceable Unit.
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A chatbot (originally chatterbot) [1] is a software application or web interface that is designed to mimic human conversation through text or voice interactions. [2] [3] [4] Modern chatbots are typically online and use generative artificial intelligence systems that are capable of maintaining a conversation with a user in natural language and simulating the way a human would behave as a ...
Machine learningand data mining. Generative Pre-trained Transformer 1 ( GPT-1) was the first of OpenAI 's large language models following Google 's invention of the transformer architecture in 2017. [2] In June 2018, OpenAI released a paper entitled "Improving Language Understanding by Generative Pre-Training", [3] in which they introduced that ...
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] [18] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.
Module:Template link general ( sandbox) This template, often abbreviated as { {tlp}}, is used to provide stylized formatting to template displays without actually using the template itself. The code generated will be displayed inline. For a multi-line output, see { { tj }} .